Shape, contour, and grouping in computer vision /
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| Imprint: | Berlin ; New York : Springer, ©1999. |
|---|---|
| Description: | 1 online resource (viii, 345 pages) : illustrations. |
| Language: | English |
| Series: | Lecture notes in computer science ; 1681 Lecture notes in computer science ; 1681. |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11066962 |
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| 245 | 0 | 0 | |a Shape, contour, and grouping in computer vision / |c David A. Forsyth [and others] (eds.). |
| 260 | |a Berlin ; |a New York : |b Springer, |c ©1999. | ||
| 300 | |a 1 online resource (viii, 345 pages) : |b illustrations. | ||
| 336 | |a text |b txt |2 rdacontent |0 http://id.loc.gov/vocabulary/contentTypes/txt | ||
| 337 | |a computer |b c |2 rdamedia |0 http://id.loc.gov/vocabulary/mediaTypes/c | ||
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| 490 | 1 | |a Lecture notes in computer science ; |v 1681 | |
| 500 | |a Proceedings of an international workshop. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a An empirical-statistical agenda for recognition / David Forsyth -- A formal-physical agenda for recognition / Joe Mundy -- Shape models and object recognition / Jean Ponce [and others] -- Order structure, correspondence, and shape based categories / Stefan Carlsson -- Quasi-invariant parameterisations and their applications in computer vision / Jun Sato and Roberto Cipolla -- Representations for recognition under variable illumination / David J. Kriegman, Peter N. Belhumeur, and Athinodoros S. Georghiades -- Shadows, shading, and projecctive ambiguity / Peter N. Belhumeur, David J. Kriegman, and Alan L. Yuille -- Grouping in the normalized cut framework / Jitendra Malik [and others] -- Geometric grouping of repeated elements within images / Frederik Schaffalitzky and Andrew Zisserman -- Constrained symmetry for change detection / Rupert W. Curwen and Joe L. Mundy -- Grouping based on coupled diffusion maps / Marc Proesmans and Luc Van Gool -- Integrating geometric and photometric information for image retrieval / Cordelia Schmid, Andrew Zisserman, and Roger Mohr -- Towards the integration of geometric and appearance-based object recognition / Joe Mundy and Tushar Saxena -- Recognizing objects using color-annotated adjacency graphs / Peter Tu, Tushar Saxena, and Richard Hartley -- A cooperating strategy for objects recognition / Antonio Chella [and others] -- Model selection for two view geometry : a review / Philip H.S. Torr -- Finding objects by grouping primitives / David Forsyth, John Haddon, and Sergey Ioffe -- Object recognition with gradient-based learning / Yann LeCun [and others]. | |
| 520 | |a This book presents a unique collection of articles on shape, contour and grouping in computer vision. Besides revised versions of research papers originally presented at a workshop, the book contains expository articles introducing the area to a broader audience and surveying the state of the art. The 19 articles presented were carefully reviewed. They are organized in the following sections: introduction; shape; shading; grouping; representation and recognition; and statistics, learning and recognition. | ||
| 650 | 0 | |a Computer vision. |0 http://id.loc.gov/authorities/subjects/sh85029549 | |
| 650 | 0 | |a Optical pattern recognition. |0 http://id.loc.gov/authorities/subjects/sh85095159 | |
| 650 | 7 | |a Computer vision. |2 fast |0 (OCoLC)fst00872687 | |
| 650 | 7 | |a Optical pattern recognition. |2 fast |0 (OCoLC)fst01046784 | |
| 655 | 4 | |a Online resources. | |
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Forsyth, David. |0 http://id.loc.gov/authorities/names/n94056129 |1 http://viaf.org/viaf/15626281 | |
| 776 | 0 | 8 | |i Print version: |t Shape, contour, and grouping in computer vision. |d Berlin ; New York : Springer, ©1999 |z 3540667229 |w (OCoLC)42786219 |
| 830 | 0 | |a Lecture notes in computer science ; |v 1681. | |
| 856 | 4 | 0 | |u http://link.springer.com/10.1007/3-540-46805-6 |y SpringerLink |
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| 928 | |t Library of Congress classification |a TA1634 .S47 1999 |l Online |c UC-FullText |u http://link.springer.com/10.1007/3-540-46805-6 |z SpringerLink |g ebooks |i 9874924 | ||